MTAT magistritööd – Master's theses

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    AI-Powered MMSE: Enhancing Cognitive Assessment
    (Tartu Ülikool, 2024) Tenman, Konstantin; Gharib, Mohamad, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    The increasing incidence of dementia among the elderly highlights the critical demand for cognitive assessment tools that are both efficient and widely accessible. Traditional methods, such as the Mini-Mental State Examination (MMSE), are typically conducted in clinical settings using paper-based formats, limiting access due to resource constraints and needing trained professionals. This thesis addresses these challenges by converting the MMSE into an AI-powered, web-based application, allowing assessments to be completed at home with minimal non-professional assistance. The digital implementation leverages sophisticated artificial intelligence (AI) models, particularly the Llama 3.1:70B, for automating the administration of the MMSE. This makes it more consistent and sensitive to small changes in cognitive function. By leveraging Machine Learning (ML) and Natural Language Processing (NLP), the system improves the consistency, accuracy, and accessibility of cognitive assessments through web-based administration. Adopting the Design Science Research (DSR) framework, this study incorporates contemporary web technologies alongside a hybrid AI strategy, enhancing performance while safeguarding data privacy. In trials, the AI-powered MMSE achieved a 92.9% success rate in confirming response correctness compared to traditional methods and slightly higher user satisfaction despite longer administration times. While this work significantly improves cognitive assessment accessibility and sensitivity, further studies are needed to validate its effectiveness across diverse clinical settings. Future research should optimize response times, expand language support, and address ethical considerations in AI-driven cognitive assessments.